Publications

Anil Goyal, Ammar Shaker, Francesco Alesiani (2024). Machine learning knowledge management based on lifelong boosting in presence of less data.
Francesco Alesiani, Markus Zopf (2024). Information system for generation of complex molecule by using graph representing molecule.
Francesco Alesiani, Markus Zopf, Cristobal Felipe Corvalan Morbiducci (2024). Learning logical rules over graph structured data using message passing.
Jonathan Warrell, Francesco Alesiani, Charles Smith, Andreas Mösch, Michael R. Min (2024). Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad. arXiv preprint arXiv:2411.09779.
Viktor Zaverkin, David Holzmüller, Henrik Christiansen, Federico Errica, Francesco Alesiani, Makoto Takamoto, Mathias Niepert, Johannes Kästner (2024). Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials. npj Computational Materials.
Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert (2024). Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. arXiv preprint arXiv:2405.14253.
Markus Zopf, Francesco Alesiani (2024). Graph Reasoning Networks. arXiv preprint arXiv:2407.05816.
Takashi Maruyama, Daisuke Etou, Toshio Kamiya, Francesco Alesiani (2024). Generalized Precise Orbit Prediction of LEO Satellites via Physics Informed Machine Learning. IAF Astrodynamics Symposium, 1562-1569.
Francesco Alesiani, Markus Zopf (2023). Machine learning for optimized learning of human-understandable logical rules from medical or other data.
Francesco Alesiani, Markus Zopf (2023). Systems and methods for learning human-understandable logical rules from data.